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A big and balanced dataset CA8 is then built for\nthis task, including 17813 questions. Furthermore, we systematically explore\nthe influences of vector representations, context features, and corpora on\nanalogical reasoning. With the experiments, CA8 is proved to be a reliable\nbenchmark for evaluating Chinese word embeddings.","url_abs":"http://arxiv.org/abs/1805.06504v1","url_pdf":"http://arxiv.org/pdf/1805.06504v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"analogical-reasoning-on-chinese-morphological","repo_url":"https://github.com/Embedding/Chinese-Word-Vectors","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"analogical-reasoning-on-chinese-morphological","repo_url":"https://github.com/blcunlp/CNLI","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}}],"tasks":[{"task_slug":"word-embeddings","task_name":"Word Embeddings"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1805.06504","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1805.06504"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. 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